Advertise on podcast: Let's Talk Privacy

In this Bite-sized episode, Aakash breaks down the reported $6.3 billion crypto theft from Binance, allegedly initiated through a single engineer’s laptop. While cryptocurrency relies on mathematically decentralised architecture, the heist exposes the massive operational vulnerability created by centralised access and single points of failure.  Rather than treating the incident as sensational "AI crime," this episode translates the mechanics of the breach into essential governance lessons for organisations deploying autonomous tools. You’ll walk away with five critical questions every leadership team must address regarding tool permissions, mandatory human checkpoints, incident response speeds, and data privacy safeguards KEY TAKEAWAYS Complex underlying mathematics and technology cannot protect an organisation if access controls around peripheral endpoints fail. Even across decentralised ecosystems, funnelling operations through single administrative accounts, laptops, or automated agents creates catastrophic single points of failure. Replenishing stolen funds or covering user balances resolves the financial deficit but fails to address how attackers breached the perimeter or restore leaked private data. Organisations: deploying AI workflows must separate an assistant's ability to suggest or draft an action from the permission to execute high-impact transactions. Security simulations need to evaluate customer data exposure and individual harm rather than focusing solely on technical uptime and system recovery BEST MOMENTS "You can have sophisticated technology, but sophistication is not the same as security." "Decentralised technology underneath, but substantial concentrations of access and assets at the exchange level." "You may be able to replace stolen cryptocurrency; you cannot make exposed personal information secret again simply by compensating the people affected." "Before giving an AI agent more capability, decide how much authority it should have." "Because the question isn’t only how clever your AI is; it’s how much damage someone could do if they gained control of the access you gave it." TO CONNECT WITH YOUR HOST: ⁠https://www.linkedin.com/in/aakashsuri-thoughtleader/⁠  ⁠https://www.linkedin.com/company/as-privacy-ai-solutions-ltd/⁠ ⁠Aakash Suri (@letstalkprivacypodcast) • Instagram photos and videos⁠ ⁠https://www.tiktok.com/@letstalkprivacypodcast⁠ ⁠www.letstalkprivacy.com⁠ HOST BIO PICCASO Nominated & Final Shortlisted for: Rising Star SME 2026 Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. This Podcast has been brought to you by Disruptive Media. ⁠https://disruptivemedia.co.uk⁠/

FREE GIVEAWAY Everything starts with a conversation, meeting and chatting with like-minded people. So for this week's giveaway, I am happy to offer three people two hours of my time each. You choose the subject(s), and we can chat about anything, whether it's technology challenges you are facing in your business right now, AI and data privacy in general, or maybe you share my side passion for photography. Let's talk!To find out more about me and my work as a Fractional CTO, head over to my website - https://www.floatclear.comIf you enjoyed our discussion today and would like to hear more of me on the Beside Ourselves podcast, head to https://besidepartners.com/podcast HOW TO ENTER: LINKEDIN DM AAKASH SURI A SCREENSHOT OF YOU FOLLOWING THE PODCAST ON APPLE PODCASTS! THAT IS IT, WINNERS WILL BE DRAWN AT RANDOM & PERSONALLY CONTACTED BY AAKASH, GOODLUCK!  In this week's episode, Aakash sits down with fractional CTO, CIO, and AI strategist Giles Thurston to unpack why organisations must move past artificial intelligence buzzwords and focus on real business problems.  Giles explains the practical role of fractional leadership for growing SMEs and charities, warns against "shiny penny syndrome," and details how to establish foundational data privacy and governance using a simple traffic-light classification system. Emphasising that AI should empower existing teams rather than merely slash headcount, the conversation delivers actionable advice on auditing tools, locking down permissions, and drafting clear, one-page AI policies. KEY TAKEAWAYS Rushing to adopt AI without a defined motivation or clear business rationale often masks underlying process, data, or communication problems. AI models depend entirely on context, meaning organisations must establish solid privacy, security, and permissions controls before deploying AI tools on internal data. Classifying data into green (public), amber (internal/procedural), and red (sensitive/personal) gives teams a clear, intuitive framework for safe tool usage. Rather than using automation strictly for staff reduction, businesses can treat AI as virtual capacity that frees employees to focus on high-value, human-centred work. A practical AI policy can be drafted on a single sheet of plain English paper to establish organisational motivation and clear operational guardrails BEST MOMENTS "The real power comes, both individually and also in businesses, is obviously when you give it context and specific data about you and your situation."  "AI is almost the last domino to drop over once you've addressed those things."  "I always describe this to people as the data privacy piece is the foundation of the house... Once you've got that, then you can build AI on top of it."  "You cannot stick an AI legally in the dock. You can't turn around as a business and shrug your shoulders and go, 'Oh, well, the AI decided that.' You as a business are still responsible for the decisions that are made."  "Keep it simple, keep it human... and I think that's where the success will come in this whole area." GUEST INFO - Giles Thurston Follow Giles on Linkedin - linkedin.com/in/gilesthurston Giveaway Info - I ask every guest to give something away!  Everything starts with a conversation, meeting and chatting with like-minded people. So for this week's giveaway, I am happy to offer three people two hours of my time each. You choose the subject(s), and we can chat about anything, whether it's technology challenges you are facing in your business right now, AI and data privacy in general, or maybe you share my side passion for photography. Let's talk! To find out more about me and my work as a Fractional CTO, head over to my website - https://www.floatclear.com If you enjoyed our discussion today and would like to hear more of me on the Beside Ourselves podcast, head to https://besidepartners.com/podcast TO CONNECT WITH YOUR HOST: ⁠https://www.linkedin.com/in/aakashsuri-thoughtleader/⁠  ⁠https://www.linkedin.com/company/as-privacy-ai-solutions-ltd/⁠ ⁠Aakash Suri (@letstalkprivacypodcast) • Instagram photos and videos⁠ ⁠https://www.tiktok.com/@letstalkprivacypodcast⁠ ⁠www.letstalkprivacy.com⁠ HOST BIO PICCASO Nominated & Final Shortlisted for: Rising Star SME 2026 Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. This Podcast has been brought to you by Disruptive Media. ⁠https://disruptivemedia.co.uk⁠/

Aakash is joined by smart home and building automation specialist Brandon Miles, to pull back the curtain on connected living spaces. They dive into the pervasive data collected by modern IoT devices—from Wi-Fi-based movement tracking and robot vacuum floor plans to ad-heavy smart TVs—and explore the critical differences between vulnerable cloud-reliant systems and privacy-first local data storage.  Together, Aakash and Brandon examine the real-world trade-off between consumer convenience and surveillance, discuss the limits of current regulations like GDPR in residential settings, and reflect on the ethical responsibility installers hold to ensure our homes do not turn into silent monitoring hubs. Brandon is giving away the opportunity to work with him direct on your project. A free 30 minute call to discuss what you may or may not need which enters you into the raffle for 10 lucky people who will get programming and consultation PRE-BUILD for free! (Hardware and install costs not included). This will ensure that all smart systems required for a home are accounted for and work intelligently to prevent costly mistakes and inefficient systems upon completion. ALSO, One lucky person will also get a free site and in person meeting to discuss the project in depth at any stage of the project. Ideas before walls go up, before systems are installed, after completing and next steps, whatever is needed! To enter the giveaway, follow the podcast and take a screenshot as evidence. Then send the screenshot to me via a DM on linkedin! KEY TAKEAWAYS Modern smart devices collect far more sensitive behavioural data than users realise, including precise room layouts, presence tracking via Wi-Fi signals, and ambient household activity. Utilising local data processing and on-premise hardware storage drastically minimises exposure by ensuring home automation data never leaves the premises or gets fed into external AI training pipelines. Budget smart devices, such as low-cost connected TVs, often subsidise lower price tags by tracking consumer habits, injecting ads, and transmitting behavioural profiles to third parties. Installers and manufacturers must prioritise transparent data practices and privacy-by-design defaults rather than relying on customers to decipher hundreds of pages of legal terms and conditions. The ongoing shift toward autonomous AI in the home demands clearer governance, built-in safeguards, and accountable frameworks before systems begin operating with limited human oversight BEST MOMENTS "If your home is becoming smarter, is it also becoming more watchful?"  "If it seems too good to be true, it usually is."  "You're inviting companies into your own home. Realistically, that's what we're doing."  "The future should not be a choice between a dumb home and a surveillance-driven home."  "The question for us all is not simply whether our homes can become smarter; it's whether they can become smarter without becoming more invasive." GUEST BIO Brandon Miles is a smart home and building automation specialist with Handy Controls. With a deep technical understanding of IoT devices and connected living spaces, Brandon advocates for privacy-first, locally-hosted automation solutions over vulnerable, cloud-reliant systems. He champions ethical installation practices and transparent data handling, working to balance consumer convenience with security to ensure modern automated homes do not turn into surveillance hubs. LinkedIn: linkedin.com/in/brandon-miles-82433b187 Email: [email protected] TO CONNECT WITH YOUR HOST: ⁠https://www.linkedin.com/in/aakashsuri-thoughtleader/⁠  ⁠https://www.linkedin.com/company/as-privacy-ai-solutions-ltd/⁠ ⁠Aakash Suri (@letstalkprivacypodcast) • Instagram photos and videos⁠ ⁠https://www.tiktok.com/@letstalkprivacypodcast⁠ ⁠www.letstalkprivacy.com⁠ HOST BIO PICCASO Nominated & Final Shortlisted for: Rising Star SME 2026 Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. This Podcast has been brought to you by Disruptive Media. ⁠https://disruptivemedia.co.uk⁠/

In this bite-sized episode, Aakash explores the fine line between helpful wearable AI and public surveillance through the lens of Meta’s smart glasses. While these glasses offer cutting-edge features like real-time translation, voice interaction, and hands-free recording, their inconspicuous design creates severe privacy headaches—shifting privacy risk from the device wearer to unaware bystanders.  Aakash breaks down the illusion of recording light indicators, the complex data pipeline behind Meta AI, and how businesses must proactively implement proportionate, risk-based rules before invisible surveillance becomes the social norm KEY TAKEAWAYS Meta’s smart glasses disguise powerful cameras and AI tools as everyday eyewear, making covert recording far harder to detect than traditional smartphone use. A small recording light does not provide meaningful consent, as bystanders often fail to notice the indicator or understand what happens to their data. Smart glasses introduce a critical "bystander problem," where those most impacted by image and audio capture never agreed to the device's terms of service. Beyond simple video capture, real-time AI interpretation of faces, confidential screens, and private conversations raises significantly deeper privacy risks. Businesses and public venues must establish proactive, risk-based policies for smart eyewear in sensitive environments before the technology becomes normalised. BEST MOMENTS "A flashing light is not the same thing as somebody saying, 'I am recording you, and this is what I'm going to do with the footage.'" "Once recording becomes harder to notice, privacy becomes harder to protect." "Most privacy controls are designed around the person who owns the device. But smart glasses affect everyone around the wearer." "The problem is not just that a camera may capture an image; it is that AI may help interpret that image, and interpretation can be much more sensitive than recording alone." "The future of privacy may not be decided by what happens on a screen; it may be decided by what happens when someone walks into the room wearing those glasses." TO CONNECT WITH YOUR HOST: ⁠https://www.linkedin.com/in/aakashsuri-thoughtleader/⁠  ⁠https://www.linkedin.com/company/as-privacy-ai-solutions-ltd/⁠ ⁠Aakash Suri (@letstalkprivacypodcast) • Instagram photos and videos⁠ ⁠https://www.tiktok.com/@letstalkprivacypodcast⁠ ⁠www.letstalkprivacy.com⁠ HOST BIO PICCASO Nominated & Final Shortlisted for: Rising Star SME 2026 Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. This Podcast has been brought to you by Disruptive Media. ⁠https://disruptivemedia.co.uk⁠/

FREE GIVEAWAY 2 lucky winners will get a 2-hour (2 power hours or split it) coaching session with Ratna Morjaria of Dharma Awakenings. ONLY 2 WINNERS. HOW TO ENTER: LINKEDIN DM AAKASH SURI THE WORDS “HUMAN IN THE LOOP” AND A SCREENSHOT OF YOU FOLLOWING THE PODCAST ON APPLE PODCASTS! THAT IS IT, WINNERS WILL BE DRAWN AT RANDOM & PERSONALLY CONTACTED BY AAKASH, GOODLUCK!  In this episode of the Let's Talk Privacy podcast, Aakash Suri is joined by Ratna Morjaria, founder of Dharma Awakenings, to discuss the intersection of artificial intelligence, human purpose, and leadership. Together, they explore what it means to keep human intuition at the forefront, the importance of conscious leadership, and the courage it takes to pursue personal transformation. KEY TAKEAWAYS Redefining "Human in the Loop": True human oversight must represent more than just monitoring machine decisions. It requires maintaining human intuition, judgment, and a deep connection to our values rather than becoming complacent and overly reliant on automated systems.  Conscious Leadership in an AI Age: Organisations often prioritise speed and shareholder interests over human-centric values. Conscious leadership involves building resilient cultures by fostering human connection and empowering individuals to practice self-leadership, which allows them to question and understand the "why" behind their actions. Trusting Human Judgment: There is a danger of losing internal wisdom by over-relying on machine-generated outputs. It is essential to slow down and listen to one's intuition, described as the "soft technology" of the human body, which is crucial for navigating uncertainty and maintaining authenticity.  Addressing AI Existential Risk: When discussing recent warnings about AI-driven human extinction, it is important to avoid falling into either extreme panic or blind complacency. The true "extinction" risk lies in humans abandoning their humanity to live in an automated, task-oriented way, and we must instead use this moment to reclaim our purpose.  The Hero's Journey and Personal Transformation: Leaving established corporate careers to pursue purpose-driven work requires immense courage. Taking the risk to follow your intuition, while challenging, is essential for living authentically and serving others effectively. BEST MOMENTS "The true 'extinction' risk lies in humans abandoning their humanity to live in an automated, task-oriented way."  “Intuition is the 'soft technology' of the human body, essential for navigating uncertainty and maintaining authenticity."  “Human in the loop' should represent more than just human oversight of machine decisions; it requires maintaining human intuition, judgment, and connection to values. TO CONNECT WITH RATNA MORJARIA https://www.linkedin.com/in/ratna-morjaria/  TO CONNECT WITH YOUR HOST LinkedIn - Aakash Suri LinkedIn - AS Privacy & AI Solutions LtdTik Tok Instagram www.letstalkprivacy.com HOST BIO PICCASO Nominated & Final Shortlisted for, Rising Star SME 2026. Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance.

In a deeply personal episode, Aakash Suri invites his wife, Ashna Suri, back to the podcast to discuss the reality of building a business and a global podcast over the last 10 months. They go behind the scenes to explore the sacrifices, teamwork, mindset shifts, and family dynamics that power an entrepreneurial journey.  KEY TAKEAWAYS The Power of Partnership: Building a successful brand requires immense behind-the-scenes support, with Ashna managing administrative tasks and operations to allow Aakash the creative space to focus on content. Building a Family Legacy: The consultancy's name, AS Privacy and AI Solutions Limited, is deeply personal, representing the initials of Aakash, Ashna, and their 9-year-old son, making it a legacy business designed for the future. Role Modelling for the Next Generation: The entrepreneurial journey actively inspires their son, who practices hosting on the microphone and sees both parents dedicating time to learning, growth, and pushing past their comfort zones. The Origin of a Beloved Segment: The podcast’s highly popular closing tradition, "Take the Risk or Lose the Chance," was actually brainstormed and suggested by Ashna during a late-night planning session. "If you're not nervous about something, that means you don't want it badly enough." BEST MOMENTS "The relationships that are meant to be forged don't need to be forced... it just happens naturally." "If you really want something, the doorway to something is embarrassment. You're going to have to fall down a few times, embarrass yourself." TO CONNECT WITH ASHNA SURI linkedin.com/in/ashna-suri-091a06389 TO CONNECT WITH YOUR HOST LinkedIn - Aakash Suri LinkedIn - AS Privacy & AI Solutions LtdTik Tok Instagram www.letstalkprivacy.com HOST BIO PICCASO Nominated & Final Shortlisted for, Rising Star SME 2026. Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance.

In this episode, Aakash Suri speaks with Shoaib Ahmed, a multi-award-winning LinkedIn strategist and founder of SA Personal Branding. Stepping outside traditional privacy topics, they discuss how privacy professionals can overcome the fear of posting, combat "AI slop," and build genuine influence and credibility online. Visibility is Credibility: Doing great work behind closed doors is no longer enough; privacy professionals risk being left behind if they do not share their unique expertise and personal stories online. Combating AI Slop with Authenticity: The barrier to entry for content creation has been lowered by AI, flooding feeds with generic content, which creates a massive opportunity for authentic practitioners to stand out by sharing real-world stories. The Attention Economy Over Follower Counts: Follower counts matter far less than starting meaningful conversations and understanding marketing psychology, as a smaller but engaged audience can convert more leads. Using AI as an Editor, Not an Inventor: While AI is excellent for editing and operations, it should not be used to invent content from scratch. Professionals should use their own raw ideas and use AI merely to refine their authentic voice. "If you want to achieve something out of the ordinary, you have to do something out of the ordinary." "Value does not equal education. Value can also come in the form of inspiring somebody, entertaining somebody, empowering somebody." "I start with an idea or concept or story... I don't start with AI. I end with AI." TO CONNECT WITH SHOAIB AHMED linkedin.com/in/shoaibahmed21 TO CONNECT WITH YOUR HOST LinkedIn - Aakash Suri LinkedIn - AS Privacy & AI Solutions LtdTik Tok Instagram www.letstalkprivacy.com HOST BIO PICCASO Nominated & Final Shortlisted for, Rising Star SME 2026. Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. KEY TAKEAWAYSBEST MOMENTS

DISCLAIMER - The views and opinions expressed about the real-world examples are those of the guest and host. They do not represent or reflect the official views of any company, organisation, or employer mentioned and are based on public information and personal interpretation.  In this episode, Aakash Suri sits down with returning guest Shaun Hastings, an experienced quality and compliance leader, to explore the evolving intersection of data privacy, clinical research, and artificial intelligence. The conversation unpacks the privacy implications of decentralised clinical trials, wearables, and recent high-profile healthcare data breaches. KEY TAKEAWAYS The Insider Risk of Biobanks: The UK Biobank breach highlights the severe risks of insider threats, where pseudonymised genetic data was accessed via shared credentials and offered for sale online. Sub-processor Oversight is Crucial: A 5 million euro fine issued to IQVIA demonstrates that relying on data warehouses acting as subcontractors without strict privacy checks and sponsor oversight leads to massive compliance failures. Decentralised Trials and Cloud Risks: Shifting clinical trials to patients' homes and utilising wearables introduces new risks, as health data is transmitted to cloud-based apps managed by large tech corporations outside secure hospital environments. Updating Informed Consent for AI: Current informed consent forms generally cover future research but fail to explicitly address the use of patient data for training AI models, which must be updated to meet transparency obligations like Article 50 of the EU AI Act. BEST MOMENTS "Pseudonymisation removes the risk is a major healthcare privacy myth." "Data privacy is now a CEO topic. It's on the table of the CEO and the board of directors. It's not an afterthought." "As a sponsor, you're maybe two, three people away from that actual place... the responsibility lies with the controller, right, ultimately." TO CONNECT WITH SEAN HASTINGS linkedin.com/in/shaunhastings  TO CONNECT WITH YOUR HOST LinkedIn - Aakash Suri LinkedIn - AS Privacy & AI Solutions LtdTik Tok Instagram www.letstalkprivacy.com HOST BIO PICCASO Nominated & Final Shortlisted for, Rising Star SME 2026 Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance.

In this episode, Aakash Suri welcomes back James, former Data Protection Officer (DPO) for the Labour Party and founder/CEO of DATUM Longevitus. They dive deep into James's insights from two major 2026 conferences focusing on the future of the web, data sovereignty, and population data linkage, while also unpacking the real-world challenges privacy leaders face today. KEY TAKEAWAYS The Shift to Data Self-Sovereignty: Sir Tim Berners-Lee's "Solid" project envisions individuals controlling their personal information in secure "pods," raising massive questions about whether individuals are informed enough to govern complex data use cases. Balancing Population Linkage and Public Trust: Centralised population data linkage can yield powerful insights, such as proactively notifying citizens of health risks, but requires overcoming deeply eroded public trust. Navigating AI Slop and Hallucinations: Privacy professionals are facing a flood of AI-generated content, making it crucial to maintain healthy skepticism, understand AI guardrails, and not rely on AI for complex compliance tasks. Overcoming Imposter Syndrome: Combating imposter syndrome in the privacy sector requires letting go of a rigid "black and white" mindset and having the un-judgemental curiosity to constantly ask stakeholders "why". Exclusive Training Announcement: Aakash and James announced a new in-person, week-long training program titled "The Future of Data Privacy Leadership: Becoming a Confident DPO" to help practitioners master complex data flows. Register interest at www.letstalkprivacy.com, selecting the Training Workshops & Speaking link.  BEST MOMENTS "We're the department of no to a lot of people... It should be the department of go." "If you're trying to capture all of your data... what if there is somebody on a train with Meta glasses on and you're sitting opposite them? Where's the privacy notice for Meta glasses?" "Go with the solution before the problem... leadership don't want problems. They want solutions." TO CONNECT WITH JAMES linkedin.com/in/-james-robson TO CONNECT WITH YOUR HOST LinkedIn - Aakash Suri LinkedIn - AS Privacy & AI Solutions Ltd Tik Tok Instagram www.letstalkprivacy.com HOST BIO PICCASO Nominated & Final Shortlisted for, Rising Star SME 2026 Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance.

GIVEAWAY INFORMATION What's up for grabs: Book Giveaway: Want to read the book that helped shape Emma’s career? She is sending one lucky listener a free hard copy of her go-to guide, How to be a decent DPO: letters to aspiring privacy pros, complete with a personal thank you note. There can be only 1 Winner!  HOW TO: Listen to the whole episode and follow on Apple Podcasts. Connect with Aakash on LinkedIn, and find the link below DM Aakash on LinkedIn https://www.linkedin.com/in/aakashsuri-thoughtleader/  All entries must be submitted within the first 72 hours of the episode's release, and a winner will be picked at random In this episode, Aakash Suri sits down with Emma Martins, former Data Protection Commissioner for Jersey & Guernsey, Chief Commissioner of the Data and Marketing Commission, and Chair of the Picasso Awards. Drawing on over 25 years of experience at the forefront of data protection and public sector governance, Emma shares why privacy is fundamentally about human dignity rather than rigid tick-box compliance.  KEY TAKEAWAYS "This is not just about articles of law—this is about human beings. When we embed our own values into our work, something special happens." "Unintended is different to unforeseen. You can not intend something, but if you'd sat in a room with a good governance officer or DPO, you could have foreseen it." "Data is going to be central to the beating heart of your organization. If you look after that, you're going to look after your business." "A policy is not evidence of culture unless people behave responsibly. A policy is the easy bit—living the words is what counts." "We're not passengers in this digital revolution—we're the crew. So let's take a bit of control." TO CONNECT WITH Emma Martins: linkedin.com/in/emma-martins-714128102 TO CONNECT WITH YOUR HOST:https://www.linkedin.com/in/aakashsuri-thoughtleader/  https://www.linkedin.com/company/as-privacy-ai-solutions-ltd/ Aakash Suri (@letstalkprivacypodcast) • Instagram photos and videos https://www.tiktok.com/@letstalkprivacypodcast www.letstalkprivacy.com HOST BIO PICCASO Nominated & Final Shortlisted for: Rising Star SME 2026 Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

In this bite-sized episode, Aakash breaks down the emergence of Kimi K3, a powerful Chinese AI model that has sent shockwaves through the global technology landscape. Challenging long-held assumptions about American dominance in artificial intelligence, Kimi K3 highlights a pivotal shift from pure model capability to economic feasibility, cybersecurity, and regulatory control. KEY TAKEAWAYS Shift in Geopolitical AI Dynamics: The rapid rise of models like Kimi K3 challenges the long-standing belief that the U.S. holds an unquestioned 6-to-12-month lead in frontier AI capabilities. The Economic Disruptor of Lower Costs: High-performing yet significantly cheaper models create intense economic pressure, forcing organizations to re-evaluate their tech stacks and challenging the high valuations of major U.S. tech firms. Cybersecurity Implications of Open-Weight Models: While open weights foster research and flexibility, they also remove centralized safeguards, granting equal capability access to both defensive security teams and malicious threat actors. Questioning Export Control Efficacy: Despite strict U.S. chip export restrictions, Chinese developers are achieving near-frontier results through architectural optimization and efficient training, casting doubt on traditional containment strategies. Comprehensive AI Governance is Crucial: Selecting an AI model requires looking beyond cost and raw benchmarks to thoroughly assess data jurisdiction, security safeguards, privacy risks, and model provenance. BEST MOMENTS "The United States may not be losing the AI race, but it may be losing control of it." "If an organization can get similar performance for much less money, why wouldn't you consider using that model?" "A powerful model that helps identify weaknesses could also help attackers discover and exploit them more quickly." "A race with no safeguards might be faster, but it also may be far more dangerous." "The future of AI will not be decided only by people who build the most powerful model. It may be decided by who can make that power safe, affordable, trusted, and responsibly governed." TO CONNECT WITH YOUR HOST: https://www.linkedin.com/in/aakashsuri-thoughtleader/  https://www.linkedin.com/company/as-privacy-ai-solutions-ltd/ Aakash Suri (@letstalkprivacypodcast) • Instagram photos and videos https://www.tiktok.com/@letstalkprivacypodcast www.letstalkprivacy.com HOST BIO PICCASO Nominated & Final Shortlisted for: Rising Star SME 2026 Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

In this compilation episode, Aakash brings together standout insights from top data protection leaders, including a former BBC lawyer, a former UAE government lawyer, and the founder of the National Privacy Council in the U.S. The discussion dives deep into three critical areas: navigating AI governance and shadow AI, balancing commercial objectives against public trust across global jurisdictions, and avoiding the dangerous trap of reactive compliance.  KEY TAKEAWAYS Expand Governance to Encompass AI: Rather than treating AI as a separate entity, organizations should integrate AI risk assessments into their existing privacy compliance frameworks on a case-by-case basis. Reframe the "Department of No": Privacy leaders build credibility by taking a risk-based, pragmatic approach, framing compliance challenges as opportunities and offering solutions rather than flat denials. Commercial Risk vs. Public Trust: While commercial entities focus on legal permissions, public and government sectors must prioritize ethical custodianship doing what is right with the trust placed in them by citizens. Beware the Reactive Compliance Trap: Waiting for new regulations or frameworks to be finalized before taking action creates major vulnerability; privacy and security by design must be proactively embedded into everyday business culture. The Compounding Risk of Free AI Tools: Frequently entering data into free AI platforms without oversight creates long-term digital surveillance risks, as user profiles build up across systems beyond user control. BEST MOMENTS "You can't have a blanket approach for deploying AI. All AI initiatives should be looked at on a case-by-case basis."  "Instead of saying 'no, that's too risky,' you can say 'yes, but there are a few adjustments we may need to make to ensure this aligns with privacy principles.'"  "In commercial settings, the question is 'what are we allowed to do?' In government, it becomes 'what is the right thing to do with the trust people have placed in us?'"  "Most deployments I have reviewed or come across have absolutely no human review mechanism documented. It is just assumed."  "We sit around and wait for the regulatory changes, we wait till the new framework comes out... but no matter what you're doing in security or privacy, you need to be proactive."  Links To Original Episodes:  https://open.spotify.com/episode/0wR1387j2Wo4AUfhouv7Tc?si=e4c6443868234277  https://open.spotify.com/episode/4miJD9f3BlKhpAwwfgrxIi?si=962f395d17dd4507  https://open.spotify.com/episode/53Xp7Cwz5U0zC8d1zEPMl4?si=3904b7d95eb34340  TO CONNECT WITH YOUR HOST: https://www.linkedin.com/in/aakashsuri-thoughtleader/  https://www.linkedin.com/company/as-privacy-ai-solutions-ltd/ Aakash Suri (@letstalkprivacypodcast) • Instagram photos and videos https://www.tiktok.com/@letstalkprivacypodcast www.letstalkprivacy.com HOST BIO PICCASO Nominated & Final Shortlisted for: Rising Star SME 2026 Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

In this special compilation episode, Aakash Suri revisits stand-out insights from three prominent privacy and information leaders to explore how data protection, cybersecurity, and governance work in practice. KEY TAKEAWAYS Interactive Training Outperforms Compliance Tick-Boxes: Effective data management training relies on active discussion, storytelling, and gamification rather than dry, repetitive slide decks.  Translate Legal Jargon into Business Outcomes: Leading with plain English and focusing on practical outcomes rather than quoting legal articles or acronyms helps stakeholders understand the real-world value of privacy. Distinguish Between Consumer and Enterprise AI Tools: Free consumer AI models often retain input data permanently, whereas enterprise editions allow data deletion, making clear usage policies and multi-layered defenses essential under GDPR. DPO Roles Are Protective, Not Just Defensive: While internal legal teams focus primarily on defending organizational risk, a Data Protection Officer acts as an independent steward focused on protecting the individuals behind the data. Direct Communication Resolves Leadership Resistance: When navigating tough conversations with senior executives, asking direct, outcome-focused questions helps shift ownership back to decision-makers and clears a path toward resolution. BEST MOMENTS "Privacy isn't here to slow down; it's here to help you move faster, safely." "If privacy only appears during incidents, it seems like the police." "You can't really say one or two layers is enough. You may need 5, 10, 15 layers... the cost of not doing that is even worse." "It's not a defensive role; it's a protective role. It is a stewardship... to make sure we're not going to harm people." "I'm not about fighting the battles, I'm just about solving the problem. So I just said to them: 'What do you want to do?'" LINKS TO ORIGINAL EPISODES Jaquiline Stockwell: https://open.spotify.com/episode/5dxaApjHLPAeoucm9eb3WX?si=GRq_0mqySQutk92ULk-ZHA  https://podcasts.apple.com/gb/podcast/from-back-office-to-boardroom-turning-information-leaders/id1870881137?i=1000750573354  David Clarke: https://open.spotify.com/episode/3FixHcg1V77MuIbnAQvxOY?si=4c933ff2bd684264  https://podcasts.apple.com/gb/podcast/inside-the-vciso-mind-david-clarke-on-ai-gdpr-and/id1870881137?i=1000748448702  James Robson: https://open.spotify.com/episode/0zN3uyzIRvSqgrnHxhuVtY?si=de715bc83574482e  https://podcasts.apple.com/gb/podcast/inside-a-political-dpos-mind-labour-party-voter/id1870881137?i=1000747262265  TO CONNECT WITH YOUR HOST: https://www.linkedin.com/in/aakashsuri-thoughtleader/  https://www.linkedin.com/company/as-privacy-ai-solutions-ltd/ Aakash Suri (@letstalkprivacypodcast) • Instagram photos and videos https://www.tiktok.com/@letstalkprivacypodcast HOST BIO PICCASO Nominated & Final Shortlisted for: Rising Star SME 2026 Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

In this bite-sized episode, Aakash dives into the critical and growing debate around AI disclosure in podcasting. As artificial intelligence evolves from handling editing and research support to cloning human voices, generating full scripts, and creating synthetic hosts, the line between authentic human content and automated production is rapidly blurring. KEY TAKEAWAYS The Core Rule of Thumb: Behind-the-scenes AI support generally doesn't require explicit disclosure, whereas AI performing substantive creative work must be clearly disclosed. Trust Is the Product: Podcasting relies heavily on authentic connections. Concealing AI involvement erodes trust across creators, advertisers, and platforms alike. Platform Regulation of "AI Slop": Major podcast directories and platforms are pushing for clearer labeling to combat low-effort, mass-produced synthetic content. Transparency Over Fine Print: Disclosure should never be buried in legal fine print; honest and upfront messaging reinforces a creator's integrity rather than punishing them. Privacy and AI Share the Same Core Principle: Just like privacy governance, AI ethics comes down to user expectations; people don't just want compliance rules, they demand fundamental honesty. BEST MOMENTS   "The question isn't whether AI can be used in podcasting—it already is. The real question is: should listeners know when AI has played a meaningful role in what they're hearing?" "If AI is helping build behind the scenes, you may not need to shout about it. If AI is doing the actual performance, then you probably should be." "Disclosure does not have to be a punishment... It just means the listener knows what they're getting." TO CONNECT WITH YOUR HOST: https://www.linkedin.com/in/aakashsuri-thoughtleader/  https://www.linkedin.com/company/as-privacy-ai-solutions-ltd/ Aakash Suri (@letstalkprivacypodcast) • Instagram photos and videos https://www.tiktok.com/@letstalkprivacypodcast HOST BIO Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

GIVEAWAY INFORMATION What's up for grabs: 3 x 30-minute consultations with John. He is offering a free 30-minute AI search & visibility consultation for three lucky listeners. Reach out via LinkedIn to claim your slot! ONLY AVAILABLE FOR THE FIRST 10 LISTENERS HOW TO: Listen to the whole episode and follow on Apple Podcasts. Connect with Aakash on LinkedIn, and find the link below DM Aakash on LinkedIn, ONLY AVAILABLE FOR THE FIRST 3 LISTENERS https://www.linkedin.com/in/aakashsuri-thoughtleader/  All entries must be submitted within the first 24 hours of the episode's release, and a winner will be picked at random In this episode, Aakash is joined by AI search visibility consultant John Osei-Kwaku to explore the critical intersection of artificial intelligence, search visibility, and user privacy. Together, they break down how search behavior is shifting away from traditional search engine result pages toward AI-generated summaries and zero-click answers powered by Retrieval-Augmented Generation. KEY TAKEAWAYS The Shift from Links to Direct Answers: Search behavior is evolving from the traditional "10 blue links" on Google to immediate, synthesized AI responses, which are reducing click-through rates and forcing businesses to re-evaluate how they measure visibility. Prompt Data as a Privacy Risk: Many organizations underestimate the privacy exposure when entering company-specific or strategic data directly into consumer AI tools, as default settings often use prompt inputs to train future models. API Invocations vs. Direct UI Access: Using APIs generally better protects user data than standard browser-based AI chats, as API data flows typically do not store prompt inputs for model training by default. Empowerment Over Fearmongering: Brands should educate users on data controls and privacy settings through clear communication and toggles, empowering them with transparency rather than scaring them away from AI tools. Trust as a Growth Engine: In an era of AI summaries, long-term brand equity relies on digital PR, authentic third-party validation, and privacy-conscious measurement over invasive tracking methods. BEST MOMENTS "What I think they're underestimating is the collection of data, and that data is prompts." "Search has shifted... people can get their answers within the AI engines, so they don't really need to go to Google to search for something." "Think of an API like a waiter in a restaurant—a middle person that allows two platforms to speak to each other." "Instead of fear, brands can frame privacy as empowerment—giving users total agency over the prompts they write and the data they control." TO CONNECT WITH John Osei-Kwaku linkedin.com/in/johno19  TO CONNECT WITH YOUR HOST: https://www.linkedin.com/in/aakashsuri-thoughtleader/  https://www.linkedin.com/company/as-privacy-ai-solutions-ltd/ Aakash Suri (@letstalkprivacypodcast) • Instagram photos and videos https://www.tiktok.com/@letstalkprivacypodcast HOST BIO Aakash is a recognised Data Privacy leader who helps organisations navigate complex regulations with clarity, confidence, and common sense. Unlike the legalese-driven privacy pros who simply regurgitate the law, Aakash breaks down what the rules actually mean, translates them into plain English, and gives businesses three SMART, pragmatic steps to demonstrate real compliance. This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/